Metadata-Version: 2.1
Name: datanomics-engine
Version: 0.1.0
Summary: Automated High-Precision Econometric & Time-Series Analytics Engine
Home-page: https://github.com/mohamedfawzi2017-crypto/datanomics
Author: DataNomics AI Team
Author-email: contact@datanomics-ai.app
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.20.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: statsmodels>=0.13.0
Requires-Dist: scipy>=1.7.0

# DataNomics Engine (`datanomics-engine`)

Automated High-Precision Econometric & Time-Series Analytics Engine.

## Features
- **OLS Regression:** High-precision estimation with automatic diagnostic testing (Normality, Heteroskedasticity, Autocorrelation).
- **ARDL & VAR/VECM:** Automated order selection and bounds testing.
- **ARIMA / SARIMA:** Automatic AIC minimization for non-stationary series.
- **NIST StRD Benchmarked:** Verified against U.S. National Institute of Standards and Technology datasets (LRE > 10.0 Digits).
- **100% EViews & Stata Parity.**

## Quick Start
```bash
pip install datanomics-engine
```

```python
from datanomics_engine import run_ols

# Run high-precision regression
result = run_ols(df, dependent_var="y", exogenous_vars=["x1", "x2"])
print(result.summary())
```
